Statistics is the discipline that deals with randomness and probabilities and how to extract information from data in the face of randomness. Each scientific discipline attempting to learn about real world phenomena deals with statistical issues. Biostatistics is the sub-discipline of Statistics that focuses on applications in medicine and public health.
In this module you learn how to transparently describe data that was collected for a given study. In addition you learn how to make inferences and draw conclusions that go beyond the current data set and make statements about the underlying population of interest. Furthermore, the information in the data set has to be condensed and presented in an understandable fashion. For this
- you reduce data by calculating group level quantities (like means, risks etc)
- you quantify and interpret the amount of statistical uncertainty in your data, mostly by using 95% confidence intervals
- you make the first steps in using a statistical software (Stata) for data description, data transformation and simple statistical analyses (you will receive a temporary Stata license for this)
- you communicate appropriately the results obtained
- you translate specific questions into relevant statistical quantities of interest